TY - GEN
T1 - Multi-user SISO precoding based on generalized multi-unitary decomposition for single-carrier transmission in frequency selective channel
AU - Chua, Wee Seng
AU - Yuen, Chau
AU - Guan, Yong Liang
AU - Chin, Francois
PY - 2009
Y1 - 2009
N2 - In this paper, we propose to exploit the richly scattered multi-path nature of a frequency selective channel to provide additional degrees of freedom for desigining effective precoding schemes for multi-user communications. We design the precoding matrix for multi-user communications based on the Generalized Multi-Unitary Decomposition (GMUD), where the channel matrix H is transformed into i r i H PR Q . An advantage of GMUD is that multiple pairs of unitary matrices i P and i Q can be obtained with one single Rr. Since the column of i Q can be used as the transmission beam of a particular user, multiple solutions of i Q provide a large selection of transmission beams, which can be exploited to achieve high degrees of orthogonality between the multipaths, as well as between the interfering users. Hence the proposed precoding technique based on GMUD achieves better performance than precoding based on singular value decomposition.
AB - In this paper, we propose to exploit the richly scattered multi-path nature of a frequency selective channel to provide additional degrees of freedom for desigining effective precoding schemes for multi-user communications. We design the precoding matrix for multi-user communications based on the Generalized Multi-Unitary Decomposition (GMUD), where the channel matrix H is transformed into i r i H PR Q . An advantage of GMUD is that multiple pairs of unitary matrices i P and i Q can be obtained with one single Rr. Since the column of i Q can be used as the transmission beam of a particular user, multiple solutions of i Q provide a large selection of transmission beams, which can be exploited to achieve high degrees of orthogonality between the multipaths, as well as between the interfering users. Hence the proposed precoding technique based on GMUD achieves better performance than precoding based on singular value decomposition.
UR - http://www.scopus.com/inward/record.url?scp=70349176338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349176338&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2009.4917824
DO - 10.1109/WCNC.2009.4917824
M3 - Conference contribution
AN - SCOPUS:70349176338
SN - 9781424429486
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings
T2 - 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009
Y2 - 5 April 2009 through 8 April 2009
ER -